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Found 4 papers, 2 papers with code
Dynamic Token Reduction during Generation for Vision Language Models
Vision-Language Models (VLMs) have achieved notable success in multimodal tasks but face practical limitations due to the quadratic complexity of decoder attention mechanisms and autoregressive generation.
Minstrel: Structural Prompt Generation with Multi-Agents Coordination for Non-AI Experts
LLMs have demonstrated commendable performance across diverse domains.
Label-Guided Prompt for Multi-label Few-shot Aspect Category Detection
This kind of category descriptions contain the characteristics of the aspect categories, guiding the construction of discriminative category prototypes.
LangGPT: Rethinking Structured Reusable Prompt Design Framework for LLMs from the Programming Language
Experiments illustrate that LangGPT significantly enhances the performance of LLMs.
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